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Ashiq Anjum
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Books and Theses
- 2007
- [b1]Ashiq Anjum:
Data intensive and network aware (DIANA) grid scheduling. University of the West of England, Bristol, UK, 2007
Journal Articles
- 2024
- [j46]Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos:
Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage. Big Data Min. Anal. 7(2): 371-398 (2024) - [j45]Jiayan Gu, Yan Wu, Ashiq Anjum, Lu Liu, John Panneerselvam, Yao Lu:
An adaptive key selection method for the multilevel index model for effective service management in the cloud. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j44]Yucong Xiao, Daobing Zhang, Yunsheng Wang, Xuewu Dai, Zhipei Huang, Wuxiong Zhang, Yang Yang, Ashiq Anjum, Fei Qin:
NAIR: An Efficient Distributed Deep Learning Architecture for Resource Constrained IoT System. IEEE Internet Things J. 11(12): 21427-21439 (2024) - [j43]Ziquan Zhu, Lu Liu, Robert C. Free, Ashiq Anjum, John Panneerselvam:
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks. Inf. Sci. 680: 121141 (2024) - [j42]Ben Roullier, Frank McQuade, Ashiq Anjum, Craig Bower, Lu Liu:
Automated visual quality assessment for virtual and augmented reality based digital twins. J. Cloud Comput. 13(1): 51 (2024) - 2023
- [j41]Jiayan Gu, Yan Wu, Ashiq Anjum, John Panneerselvam, Yao Lu, Bo Yuan:
Optimization of service addition in multilevel index model for edge computing. Concurr. Comput. Pract. Exp. 35(13) (2023) - [j40]Naila Mukhtar, Mohamad Ali Mehrabi, Yinan Kong, Ashiq Anjum:
Edge enhanced deep learning system for IoT edge device security analytics. Concurr. Comput. Pract. Exp. 35(13) (2023) - [j39]Rongbo Zhu, Ashiq Anjum, Hongxiang Li, Maode Ma:
Edge intelligence-enabled cyber-physical systems. Concurr. Comput. Pract. Exp. 35(13) (2023) - [j38]Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Lu Liu, Antonio Liotta, Omer F. Rana:
Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics. IEEE Trans. Sustain. Comput. 8(3): 448-464 (2023) - 2022
- [j37]Rabia Saleem, Bo Yuan, Fatih Kurugollu, Ashiq Anjum, Lu Liu:
Explaining deep neural networks: A survey on the global interpretation methods. Neurocomputing 513: 165-180 (2022) - [j36]Muhammad Sadiq Hassan Zada, Bo Yuan, Wajahat Ali Khan, Ashiq Anjum, Stephan Reiff-Marganiec, Rabia Saleem:
A unified graph model based on molecular data binning for disease subtyping. J. Biomed. Informatics 134: 104187 (2022) - [j35]Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu, Bo Yuan:
The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. J. Cloud Comput. 11: 30 (2022) - [j34]Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain:
Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks. Pattern Recognit. 121: 108207 (2022) - [j33]Muhammad K. Ali, Ashiq Anjum, Omer F. Rana, Ali Reza Zamani, Daniel Balouek-Thomert, Manish Parashar:
RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds. IEEE Trans. Cloud Comput. 10(2): 792-804 (2022) - [j32]Priyanthi M. Dassanayake, Ashiq Anjum, Ali Kashif Bashir, Joseph Bacon, Rabia Saleem, Warren Manning:
A Deep Learning Based Explainable Control System for Reconfigurable Networks of Edge Devices. IEEE Trans. Netw. Sci. Eng. 9(1): 7-19 (2022) - 2021
- [j31]Jianan Li, Jun Wu, Jianhua Li, Ali Kashif Bashir, Md. Jalil Piran, Ashiq Anjum:
Blockchain-Based Trust Edge Knowledge Inference of Multi-Robot Systems for Collaborative Tasks. IEEE Commun. Mag. 59(7): 94-100 (2021) - [j30]Laura Erhan, Mario Di Mauro, Ashiq Anjum, Ovidiu Bagdasar, Wei Song, Antonio Liotta:
Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. Sensors 21(23): 7774 (2021) - 2020
- [j29]Xiaozhu Liu, Rongbo Zhu, Ashiq Anjum, Jun Wang, Hao Zhang, Maode Ma:
Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks. Future Gener. Comput. Syst. 104: 1-14 (2020) - [j28]Yanhong Li, Rongbo Zhu, Shiwen Mao, Ashiq Anjum:
Fog-Computing-Based Approximate Spatial Keyword Queries With Numeric Attributes in IoV. IEEE Internet Things J. 7(5): 4304-4316 (2020) - [j27]Ali Reza Zamani, Mengsong Zou, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Ashiq Anjum, Manish Parashar:
Deadline Constrained Video Analysis via In-Transit Computational Environments. IEEE Trans. Serv. Comput. 13(1): 59-72 (2020) - 2019
- [j26]Bo Li, Sisi Zhou, Lifang Cheng, Rongbo Zhu, Tao Hu, Ashiq Anjum, Zheng He, Yongkai Zou:
A Cascade Learning Approach for Automated Detection of Locomotive Speed Sensor Using Imbalanced Data in ITS. IEEE Access 7: 90851-90862 (2019) - [j25]Yanhong Li, Meng Wang, Rongbo Zhu, Ashiq Anjum, Xiaokun Du, Yuhe Feng, Changyin Luo, Shasha Tian:
Intelligent augmented keyword search on spatial entities in real-life internet of vehicles. Future Gener. Comput. Syst. 94: 697-711 (2019) - [j24]Xiaokun Du, Rongbo Zhu, Yanhong Li, Ashiq Anjum:
Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis. Future Gener. Comput. Syst. 98: 238-251 (2019) - [j23]Jun Wang, Jing Luo, Xiaozhu Liu, Yongkai Li, Shubo Liu, Rongbo Zhu, Ashiq Anjum:
Improved Kalman filter based differentially private streaming data release in cognitive computing. Future Gener. Comput. Syst. 98: 541-549 (2019) - [j22]Muhammad Usman Yaseen, Ashiq Anjum, Mohsen M. Farid, Nick Antonopoulos:
Cloud-based video analytics using convolutional neural networks. Softw. Pract. Exp. 49(4): 565-583 (2019) - [j21]Ashiq Anjum, Tariq Abdullah, M. Fahim Tariq, Yusuf Baltaci, Nick Antonopoulos:
Video Stream Analysis in Clouds: An Object Detection and Classification Framework for High Performance Video Analytics. IEEE Trans. Cloud Comput. 7(4): 1152-1167 (2019) - [j20]Muhammad Usman Yaseen, Ashiq Anjum, Omer F. Rana, Nikolaos Antonopoulos:
Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 253-264 (2019) - 2018
- [j19]Muhammad Usman Yaseen, Ashiq Anjum, Omer F. Rana, Richard Hill:
Cloud-based scalable object detection and classification in video streams. Future Gener. Comput. Syst. 80: 286-298 (2018) - [j18]Stelios Sotiriadis, Nik Bessis, Ashiq Anjum, Rajkumar Buyya:
An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation. IEEE Trans. Serv. Comput. 11(1): 5-19 (2018) - 2017
- [j17]Ashiq Anjum, Manu Sporny, Alan Sill:
Blockchain Standards for Compliance and Trust. IEEE Cloud Comput. 4(4): 84-90 (2017) - 2015
- [j16]Ahsan Ikram, Ashiq Anjum, Richard Hill, Nick Antonopoulos, Lu Liu, Stelios Sotiriadis:
Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework. Concurr. Comput. Pract. Exp. 27(8): 1966-1984 (2015) - [j15]Zaheer Abbas Khan, Ashiq Anjum, Kamran Soomro, Muhammad Atif Tahir:
Towards cloud based big data analytics for smart future cities. J. Cloud Comput. 4: 2 (2015) - [j14]Ahsan Ikram, Ashiq Anjum, Nik Bessis:
A cloud resource management model for the creation and orchestration of social communities. Simul. Model. Pract. Theory 50: 130-150 (2015) - 2014
- [j13]Saad Liaquat Kiani, Ashiq Anjum, Nick Antonopoulos, Michael Knappmeyer:
Context-aware service utilisation in the clouds and energy conservation. J. Ambient Intell. Humaniz. Comput. 5(1): 111-131 (2014) - 2013
- [j12]Richard McClatchey, Andrew Branson, Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Kamran Munir, Jetendr Shamdasani, Kamran Soomro:
Providing traceability for neuroimaging analyses. Int. J. Medical Informatics 82(9): 882-894 (2013) - [j11]Richard McClatchey, Irfan Habib, Ashiq Anjum, Kamran Munir, Andrew Branson, Peter Bloodsworth, Saad Liaquat Kiani:
Intelligent grid enabled services for neuroimaging analysis. Neurocomputing 122: 88-99 (2013) - [j10]Saad Liaquat Kiani, Ashiq Anjum, Michael Knappmeyer, Nik Bessis, Nikolaos Antonopoulos:
Federated broker system for pervasive context provisioning. J. Syst. Softw. 86(4): 1107-1123 (2013) - [j9]Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill, Michael Knappmeyer:
Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds. Mob. Inf. Syst. 9(1): 1-17 (2013) - [j8]Eike Steffen Reetz, Michael Knappmeyer, Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Ralf Tönjes:
Performance simulation of a context provisioning middleware based on empirical measurements. Simul. Model. Pract. Theory 34: 208-220 (2013) - [j7]Irfan Habib, Ashiq Anjum, Richard McClatchey, Omer F. Rana:
Adapting scientific workflow structures using multi-objective optimization strategies. ACM Trans. Auton. Adapt. Syst. 8(1): 4:1-4:21 (2013) - 2012
- [j6]Ashiq Anjum, Richard Hill, Richard McClatchey, Nik Bessis, Andrew Branson:
Glueing grids and clouds together: a service-oriented approach. Int. J. Web Grid Serv. 8(3): 248-265 (2012) - [j5]Zaheer Abbas Khan, David Ludlow, Richard McClatchey, Ashiq Anjum:
An architecture for integrated intelligence in urban management using cloud computing. J. Cloud Comput. 1: 1 (2012) - [j4]Zhenxing Liu, Lu Liu, James Hardy, Ashiq Anjum, Richard Hill, Nick Antonopoulos:
Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing. J. Cloud Comput. 1: 3 (2012) - [j3]Saad Liaquat Kiani, Ashiq Anjum, Nick Antonopoulos, Kamran Munir, Richard McClatchey:
Context caches in the Clouds. J. Cloud Comput. 1: 7 (2012) - [j2]Nick Antonopoulos, Ashiq Anjum, Lee Gillam:
Intelligent techniques and architectures for autonomic clouds: introduction to the itaac special issue. J. Cloud Comput. 1: 18 (2012) - 2007
- [j1]Richard McClatchey, Ashiq Anjum, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas:
Data Intensive and Network Aware (DIANA) Grid Scheduling. J. Grid Comput. 5(1): 43-64 (2007)
Conference and Workshop Papers
- 2023
- [c53]Azam Khan, Ashiq Anjum:
Optimizing Data Distribution to Balance Scalability-Redundancy Trade-off for Collaborative Blockchain Storage. PerCom Workshops 2023: 249-255 - 2021
- [c52]Ilyas Ashkir, Ben Roullier, Frank McQuade, Ashiq Anjum:
3D object recognition for Virtual Reality based Digital Twins. BDCAT 2021: 9-17 - [c51]Azam Khan, Ashiq Anjum:
Blockchain-based distributed platform for accountable medical data sharing. UCC Companion 2021: 36:1-36:8 - 2020
- [c50]Muhammad Sadiq Hassan Zada, Bo Yuan, Ashiq Anjum, Muhammad Ajmal Azad, Wajahat Ali Khan, Stephan Reiff-Marganiec:
Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). BDCAT 2020: 27-36 - [c49]Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Antonio Liotta, Stephan Reiff-Marganiec:
Edge-enhanced analytics via latent space dimensionality reduction. BDCAT 2020: 87-95 - [c48]Rabia Saleem, Bo Yuan, Fatih Kurugollu, Ashiq Anjum:
Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks. UCC 2020: 446-448 - 2019
- [c47]Priyanthi M. Dassanayake, Ashiq Anjum, Warren Manning, Craig Bower:
A Deep Reinforcement Learning based Homeostatic System for Unmanned Position Control. BDCAT 2019: 127-136 - [c46]Zeeshan Ali Shah, Ashiq Anjum, Mohamed Abouelhoda:
Modelling Genomics Datasets to Optimize Its Usage Patterns for Efficient Analytics. ICAAI 2019: 135-140 - [c45]Bo Yuan, Ashiq Anjum, John Panneerselvam, Lu Liu:
Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks. ICDM Workshops 2019: 497-504 - [c44]Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
Unsupervised Anomaly Thresholding from Reconstruction Errors. IDCS 2019: 123-129 - [c43]Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
Cloud-assisted Adaptive Stream Processing from Discriminative Representations. SMC 2019: 164-169 - [c42]Sronglong Chhem, Ashiq Anjum, Bilal Arshad:
Intelligent Price Alert System for Digital Assets - Cryptocurrencies. UCC Companion 2019: 109-115 - [c41]Bilal Arshad, Ashiq Anjum:
High Performance Dynamic Graph Model for Consistent Data Integration. UCC 2019: 263-272 - [c40]Sanna Aizad, Ashiq Anjum:
Graph Data Modelling for Genomic Variants. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1577-1584 - 2018
- [c39]Danielle Turvill, Lee Barnby, Ashiq Anjum:
A Conceptual Framework for the Use of Graph Representation Within High Energy Physics Analysis. CCGrid 2018: 384-385 - [c38]Omer F. Rana, Manjerhussain Shaikh, Muhammad K. Ali, Ashiq Anjum, Luiz F. Bittencourt:
Vertical Workflows: Service Orchestration across Cloud & Edge Resources. FiCloud 2018: 355-362 - [c37]Muhammad K. Ali, Ashiq Anjum, Muhammad Usman Yaseen, Ali Reza Zamani, Daniel Balouek-Thomert, Omer F. Rana, Manish Parashar:
Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. ICFEC 2018: 1-10 - [c36]Zeeshan Ali Shah, Mohamed El-Kalioby, Tariq Faquih, Moustafa Shokrof, Shazia Subhani, Yasser Alnakhli, Hussain Aljafar, Ashiq Anjum, Mohamed Abouelhoda:
Exploiting In-memory Systems for Genomic Data Analysis. IWBBIO (1) 2018: 405-414 - 2017
- [c35]Muhammad Usman Yaseen, Ashiq Anjum, Nick Antonopoulos:
Modeling and Analysis of a Deep Learning Pipeline for Cloud based Video Analytics. BDCAT 2017: 121-130 - [c34]Sanna Aizad, Ashiq Anjum, Rizos Sakellariou:
Representing Variant Calling Format as Directed Acyclic Graphs to enable the use of cloud computing for efficient and cost effective genome analysis. CCGrid 2017: 784-787 - [c33]Richard Hill, James Devitt, Ashiq Anjum, Muhammad K. Ali:
Towards In-Transit Analytics for Industry 4.0. iThings/GreenCom/CPSCom/SmartData 2017: 810-817 - 2016
- [c32]Muhammad Usman Yaseen, Ashiq Anjum, Nick Antonopoulos:
Spatial frequency based video stream analysis for object classification and recognition in clouds. BDCAT 2016: 18-26 - [c31]Muhammad Usman Yaseen, Muhammad Sarim Zafar, Ashiq Anjum, Richard Hill:
High Performance Video Processing in Cloud Data Centres. SOSE 2016: 152-161 - [c30]Moeez M. Subhani, Ashiq Anjum, Andreas Koop, Nick Antonopoulos:
Clinical and genomics data integration using meta-dimensional approach. UCC 2016: 416-421 - 2014
- [c29]Tariq Abdullah, Ashiq Anjum, M. Fahim Tariq, Yusuf Baltaci, Nikos Antonopoulos:
Traffic Monitoring Using Video Analytics in Clouds. UCC 2014: 39-48 - [c28]Adnan Noor Mian, Ali Mamoon, Raees Khan, Ashiq Anjum:
Effects of Virtualization on Network and Processor Performance Using Open vSwitch and Xen Server. UCC 2014: 762-767 - 2013
- [c27]Stelios Sotiriadis, Nik Bessis, Nick Antonopoulos, Ashiq Anjum:
SimIC: Designing a New Inter-cloud Simulation Platform for Integrating Large-Scale Resource Management. AINA 2013: 90-97 - [c26]Tariq Abdullah, Ashiq Anjum, Nik Bessis, Stelios Sotiriadis, Koen Bertels:
Nature Inspired Self Organization for Adhoc Grids. AINA 2013: 682-689 - [c25]Zaheer Abbas Khan, Ashiq Anjum, Saad Liaquat Kiani:
Cloud Based Big Data Analytics for Smart Future Cities. UCC 2013: 381-386 - 2012
- [c24]Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill:
Large-Scale Context Provisioning: A Use-Case for Homogenous Cloud Federation. CISIS 2012: 241-248 - [c23]Ashiq Anjum, Nik Bessis, Richard McClatchey, Kamran Munir, Irfan Habib, Andrew Branson, Jetendr Shamdasani:
A Service Oriented Analysis Environment for Neuroimaging Studies. IMIS 2012: 29-36 - [c22]Charlie Baker, Ashiq Anjum, Richard Hill, Nik Bessis, Saad Liaquat Kiani:
Improving Cloud Datacentre Scalability, Agility and Performance Using OpenFlow. INCoS 2012: 20-27 - 2011
- [c21]Ashiq Anjum, Nik Bessis, Richard Hill, Richard McClatchey, Irfan Habib, Kamran Soomro, Peter Bloodsworth, Andrew Branson:
Provenance Management for Neuroimaging Workflows in neuGrid. 3PGCIC 2011: 67-74 - [c20]Ashiq Anjum, Richard Hill, Richard McClatchey:
Gluing Grids and Clouds Together: A Service-Oriented Approach. EIDWT 2011: 55-62 - [c19]Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill, Michael Knappmeyer:
Context Parsing, Processing and Distribution in Clouds. INCoS 2011: 141-148 - [c18]Saad Liaquat Kiani, Ashiq Anjum, Kamran Munir, Richard McClatchey, Nick Antonopoulos:
Towards Context Caches in the Clouds. UCC 2011: 403-408 - [c17]Zaheer Abbas Khan, David Ludlow, Richard McClatchey, Ashiq Anjum:
An Architecture for Integrated Intelligence in Urban Management Using Cloud Computing. UCC 2011: 415-420 - [c16]Zhenxing Liu, Lu Liu, James Hardy, Ashiq Anjum, Richard Hill, Nick Antonopoulos:
Dot-base62x: A Compact Textual Representation of IPv6 Address for Clouds. UCC 2011: 427-432 - 2010
- [c15]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Irfan Habib, Richard McClatchey, Tony Solomonides, Kamran Soomro:
Research Traceability using Provenance Services for Biomedical Analysis. HealthGrid 2010: 88-99 - 2009
- [c14]Yasir Mehmood, Irfan Habib, Peter Bloodsworth, Ashiq Anjum, Tom Lansdale, Richard McClatchey:
A middleware agnostic infrastructure for neuro-imaging analysis. CBMS 2009: 1-4 - [c13]Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Tom Lansdale, Richard McClatchey, Yasir Mehmood:
Reusable Services from the neuGRID Project for Grid-Based Health Applications. HealthGrid 2009: 283-288 - 2007
- [c12]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Tamas Hauer, Richard McClatchey, Kamran Munir, Dmitri Rogulin, Jetendr Shamdasani:
The Requirements for Ontologies in Medical Data Integration: A Case Study. IDEAS 2007: 308-314 - 2006
- [c11]Ashiq Anjum, Richard McClatchey, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas, Muhammad Sagheer, Khawar Hasham, Omer Alvi:
DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling. e-Science 2006: 89 - [c10]Arshad Ali, Richard McClatchey, Ashiq Anjum, Irfan Habib, Kamran Soomro, Mohammed Asif, Ali Adil, Athar Mohsin:
From Grid Middleware to a Grid Operating System. GCC 2006: 9-16 - [c9]Arshad Ali, Ashiq Anjum, Julian J. Bunn, Faisal Khan, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
A Multi Interface Grid Discovery System. GRID 2006: 307-308 - 2005
- [c8]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Saima Iqbal, Richard McClatchey, Harvey B. Newman, S. Yousaf Shah, Tony Solomonides, Conrad Steenberg, Michael Thomas, Frank van Lingen, Ian Willers:
Heterogeneous Relational Databases for a Grid-Enabled Analysis Environment. ICPP Workshops 2005: 34-41 - [c7]Frank van Lingen, Conrad Steenberg, Michael Thomas, Ashiq Anjum, Tahir Azim, Faisal Khan, Harvey B. Newman, Arshad Ali, Julian J. Bunn, Iosif Legrand:
The Clarens Web Service Framework for Distributed Scientific Analysis in Grid Projects. ICPP Workshops 2005: 45-52 - [c6]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Atif Mehmood, Richard McClatchey, Harvey B. Newman, Waqas ur Rehman, Conrad Steenberg, Michael Thomas, Frank van Lingen, Ian Willers, Muhammad Adeel Zafar:
Resource Management Services for a Grid Analysis Environment. ICPP Workshops 2005: 53-60 - [c5]Julian J. Bunn, Frank van Lingen, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Arshad Ali, Ashiq Anjum, Tahir Azim, Faisal Khan, Waqas ur Rehman, Richard McClatchey, Jang-uk In:
JClarens: A Java Framework for Developing and Deploying Web Services for Grid Computing. ICWS 2005: 141-148 - 2004
- [c4]Naveed Ahmad, Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Ali Hassan, Ahsan Ikram, Frank van Lingen, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
Distributed Analysis and Load Balancing System for Grid Enabled Analysis on Hand-Held Devices Using Multi-agents Systems. GCC 2004: 947-950 - [c3]Aatif Kamal, Arshad Ali, Ashiq Anjum, Fawad Nazir, Hafiz Farooq Ahmad, Hamid Abbas Burki, Hiroki Suguri, Umair Ali Shah, Tallat Hussain Tarar:
Process maturity for software project outsourcing. ICWI 2004: 1095-1098 - [c2]Arshad Ali, Ashiq Anjum, Tahir Azim, Michael Thomas, Conrad Steenberg, Harvey B. Newman, Julian J. Bunn, Rizwan Haider, Waqas ur Rehman:
JClarens: A Java Based Interactive Physics Analysis Environment for Data Intensive Applications. ICWS 2004: 716-723 - 2003
- [c1]Ashiq Anjum, Arshad Ali, Tahir Azim, Ahsan Ikram, Julian J. Bunn, Harvey B. Newman, Conrad Steenberg, Michael Thomas:
Investigating the Role of Handheld Devices in the Accomplishment of Grid-Enabled Analysis Environment. GCC (2) 2003: 913-917
Parts in Books or Collections
- 2017
- [p2]Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez M. Subhani, Dominic Davies-Tagg, Tariq Abdullah, Nikolaos Antonopoulos:
Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights. Cloud Computing, 2nd Ed. 2017: 153-170 - 2015
- [p1]Dominic Davies-Tagg, Ashiq Anjum, Richard Hill:
A Platform for Analytics on Social Networks Derived from Organisational Calendar Data. Big-Data Analytics and Cloud Computing 2015: 147-165
Editorship
- 2019
- [e7]Kenneth Johnson, Josef Spillner, Dalibor Klusácek, Ashiq Anjum:
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019, Auckland, New Zealand, December 2-5, 2019. ACM 2019, ISBN 978-1-4503-6894-0 [contents] - [e6]Kenneth Johnson, Josef Spillner, Dalibor Klusácek, Ashiq Anjum:
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019, Companion Volume, Auckland, New Zealand, December 2-5, 2019. ACM 2019, ISBN 978-1-4503-7044-8 [contents] - 2017
- [e5]Ashiq Anjum, Alan Sill, Xinghui Zhao, Mohsen M. Farid, Shrideep Pallickara, Jiannong Cao:
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2017, Austin, TX, USA, December 05 - 08, 2017. ACM 2017, ISBN 978-1-4503-5549-0 [contents] - [e4]Ashiq Anjum, Alan Sill, Geoffrey C. Fox, Yong Chen:
Proceedings of the 10th International Conference on Utility and Cloud Computing, UCC 2017, Austin, TX, USA, December 5-8, 2017. ACM 2017, ISBN 978-1-4503-5149-2 [contents] - [e3]Ashiq Anjum, Alan Sill, Geoffrey C. Fox, Yong Chen:
Companion Proceedings of the 10th International Conference on Utility and Cloud Computing, UCC 2017, Austin, TX, USA, December 5-8, 2017. ACM 2017, ISBN 978-1-4503-5195-9 [contents] - 2016
- [e2]Ashiq Anjum, Xinghui Zhao:
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016, Shanghai, China, December 6-9, 2016. ACM 2016, ISBN 978-1-4503-4617-7 [contents] - 2015
- [e1]Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu:
Big-Data Analytics and Cloud Computing - Theory, Algorithms and Applications. Springer 2015, ISBN 978-3-319-25311-4 [contents]
Informal and Other Publications
- 2024
- [i29]Dylan Adams, Magda Zajaczkowska, Ashiq Anjum, Andrea Soltoggio, Shirin Dora:
Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks. CoRR abs/2408.02961 (2024) - 2022
- [i28]Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu, Bo Yuan:
The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. CoRR abs/2208.07955 (2022) - 2021
- [i27]Jiayan Gu, Yan Wu, Ashiq Anjum, John Panneerselvam, Yao Lu, Bo Yuan:
Optimization of Service Addition in Multilevel Index Model for Edge Computing. CoRR abs/2106.04494 (2021) - [i26]Claire Palmer, Ben Roullier, Muhammad Aamir, Leonardo Stella, Diala Uchenna, Ashiq Anjum, Frank McQuade, Keith Cox, Alex Calvert:
Virtual Reality based Digital Twin System for remote laboratories and online practical learning. CoRR abs/2106.09344 (2021) - [i25]Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain:
Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks. CoRR abs/2106.15329 (2021) - [i24]Claire Palmer, Ben Roullier, Muhammed Aamir, Frank McQuade, Leonardo Stella, Ashiq Anjum:
Digital Twinning Remote Laboratories for Online Practical Learning. CoRR abs/2112.00649 (2021) - 2020
- [i23]Moeez M. Subhani, Ashiq Anjum:
Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets. CoRR abs/2006.07879 (2020) - 2017
- [i22]Richard Hill, James Devitt, Ashiq Anjum, Muhammad K. Ali:
Towards In-Transit Analytics for Industry 4.0. CoRR abs/1710.04121 (2017) - 2014
- [i21]Richard McClatchey, Andrew Branson, Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Kamran Munir, Jetendr Shamdasani, Kamran Soomro:
Providing Traceability for Neuroimaging Analyses. CoRR abs/1402.5749 (2014) - [i20]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Irfan Habib, Richard McClatchey, Tony Solomonides:
Research Traceability using Provenance Services for Biomedical Analysis. CoRR abs/1403.0230 (2014) - 2012
- [i19]Khawar Hasham, Antonio Delgado Peris, Ashiq Anjum, Dave Evans, Dirk Hufnagel, Eduardo Huedo, José M. Hernández, Richard McClatchey, Stephen Gowdy, Simon Metson:
CMS Workflow Execution using Intelligent Job Scheduling and Data Access Strategies. CoRR abs/1202.5480 (2012) - [i18]Zaheer Abbas Khan, David Ludlow, Richard McClatchey, Ashiq Anjum:
An Architecture for Integrated Intelligence in Urban Management using Cloud Computing. CoRR abs/1202.5483 (2012) - [i17]Asif Osman, Ashiq Anjum, Naheed Batool, Richard McClatchey:
A Fault Tolerant, Dynamic and Low Latency BDII Architecture for Grids. CoRR abs/1202.5512 (2012) - [i16]Ashiq Anjum, Peter Bloodsworth, Irfan Habib, Tom Lansdale, Richard McClatchey, Yasir Mehmood:
Reusable Services from the neuGRID Project for Grid-Based Health Applications. CoRR abs/1202.5516 (2012) - [i15]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Irfan Habib, Richard McClatchey, Tony Solomonides:
Research Traceability using Provenance Services for Biomedical Analysis. CoRR abs/1202.5517 (2012) - [i14]Saad Liaquat Kiani, Ashiq Anjum, Nick Antonopoulos, Michael Knappmeyer, Nigel Baker, Richard McClatchey:
Context-Aware Service Utilisation in the Clouds and Energy Conservation. CoRR abs/1202.5519 (2012) - 2007
- [i13]Arshad Ali, Ashiq Anjum, Julian J. Bunn, Faisal Khan, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
A Multi Interface Grid Discovery System. CoRR abs/0707.0740 (2007) - [i12]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Ahsan Ikram, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
Mobile Computing in Physics Analysis - An Indicator for eScience. CoRR abs/0707.0742 (2007) - [i11]Ashiq Anjum, Richard McClatchey, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas, Muhammad Sagheer, Khawar Hasham, Omer Alvi:
DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling. CoRR abs/0707.0743 (2007) - [i10]Irfan Habib, Kamran Soomro, Ashiq Anjum, Richard McClatchey, Arshad Ali, Peter Bloodsworth:
PhantomOS: A Next Generation Grid Operating System. CoRR abs/0707.0762 (2007) - [i9]Ashiq Anjum, Peter Bloodsworth, Andrew Branson, Tamas Hauer, Richard McClatchey, Kamran Munir, Dmitri Rogulin, Jetendr Shamdasani:
The Requirements for Ontologies in Medical Data Integration: A Case Study. CoRR abs/0707.0763 (2007) - [i8]Richard McClatchey, Ashiq Anjum, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas:
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments. CoRR abs/0707.0862 (2007) - 2006
- [i7]Ashiq Anjum, Richard McClatchey, Arshad Ali, Ian Willers:
Bulk Scheduling with DIANA Scheduler. CoRR abs/cs/0602026 (2006) - [i6]Arshad Ali, Richard McClatchey, Ashiq Anjum, Irfan Habib, Kamran Soomro, Mohammed Asif, Ali Adil, Athar Mohsin:
From Grid Middleware to a Grid Operating System. CoRR abs/cs/0608046 (2006) - [i5]Ashiq Anjum, Richard McClatchey, Arshad Ali, Ian Willers:
Bulk Scheduling with the DIANA Scheduler. CoRR abs/cs/0608048 (2006) - 2005
- [i4]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Atif Mehmood, Richard McClatchey, Harvey B. Newman, Waqas ur Rehman, Conrad Steenberg, Michael Thomas, Frank van Lingen, Ian Willers, Muhammad Adeel Zafar:
Resource Management Services for a Grid Analysis Environment. CoRR abs/cs/0504033 (2005) - [i3]Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Saima Iqbal, Richard McClatchey, Harvey B. Newman, S. Yousaf Shah, Tony Solomonides, Conrad Steenberg, Michael Thomas, Frank van Lingen, Ian Willers:
Heterogeneous Relational Databases for a Grid-enabled Analysis Environment. CoRR abs/cs/0504034 (2005) - [i2]Michael Thomas, Conrad Steenberg, Frank van Lingen, Harvey B. Newman, Julian J. Bunn, Arshad Ali, Richard McClatchey, Ashiq Anjum, Tahir Azim, Waqas ur Rehman, Faisal Khan, Jang-uk In:
JClarens: A Java Framework for Developing and Deploying Web Services for Grid Computing. CoRR abs/cs/0504044 (2005) - 2004
- [i1]Naveed Ahmad, Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Ali Hassan, Ahsan Ikram, Frank van Lingen, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers:
Distributed Analysis and Load Balancing System for Grid Enabled Analysis on Hand-held devices using Multi-Agents Systems. CoRR cs.DC/0407013 (2004)
Coauthor Index
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